# com.auto-reader/ocr (remote · api.auto-reader.com)

Arabic-first OCR, translation and document extraction. First call mints a free trial key.

- Trust score: 59/100 (low)
- Change this week: −1
- Registry status: active
- Liveness: live
- Owner verified: no
- Last scored: 2026-08-03

## Components

- remote · `api.auto-reader.com`: 59/100 (this document), [markdown](https://verifymcp.io/servers/com-auto-reader-ocr/api.md), [page](https://verifymcp.io/servers/com-auto-reader-ocr/api)

## Channel facts

- Endpoint: `https://api.auto-reader.com/mcp`
- Transports: `streamable-http`
- Auth: `none`
- Version: `1.0.3`

## Trust breakdown

How this component scores in each security and reliability category. Every signal is checked automatically against the live server, and we only credit what we can confirm. Scores are 0–100 per category. Scoring method: https://verifymcp.io/docs/scoring (what has changed: https://verifymcp.io/docs/scoring/changelog)

Scored 2026-08-03.

- **Endpoint Security**: 46/100
  - The endpoint's TLS certificate is valid, in date, and uses a strong key.
  - Authorisation not fully verified: no authorisation is required to call this server, and 6 tool(s) never declared a destructiveHint. The MCP spec treats an absent hint as destructive by default, so we cannot call this surface safe.
  - HTTPS not yet verified: we couldn't determine whether a plaintext access path exists.
  - HSTS check failed: the Strict-Transport-Security header is absent.
  - DNSSEC check failed: this domain isn't protected by DNSSEC.
- **Transport & Reachability**: 100/100
  - Verified streamable-http transport via a live MCP handshake.
- **Schema Quality & AI Usability**: 70/100
  - AI-judged instruction clarity (excellent).
  - Context-footprint check failed: tool/resource definitions use about 1138 tokens (~189/item across 6 items; 6 tools + 0 resources), over budget; trim descriptions and params.
  - Usage-examples check failed: none of the tools include examples.
- **Stability & Change Management**: 27/100
  - Stability observed for 8 of 30 days with no destabilising changes; credit accrues until the full window elapses.
- **Tool Coverage**: 100/100
  - 100% of tools have a non-trivial description (not blank, and not just the tool's name).
  - 100% of tool parameters carry a description.
- **Capabilities**: 60/100
  - Spec-recency check failed: implements MCP spec 2025-06-18; the latest is 2026-07-28.

## Install

### Claude

```bash
claude mcp add --transport http com-auto-reader-ocr https://api.auto-reader.com/mcp
```

### Codex

```toml
[mcp_servers.com-auto-reader-ocr]
url = "https://api.auto-reader.com/mcp"
```

### opencode

```json
{
  "$schema": "https://opencode.ai/config.json",
  "mcp": {
    "com-auto-reader-ocr": {
      "type": "remote",
      "url": "https://api.auto-reader.com/mcp",
      "enabled": true
    }
  }
}
```

### OpenClaw

```bash
openclaw mcp add com-auto-reader-ocr --url https://api.auto-reader.com/mcp --transport streamable-http
```

### Hermes

```yaml
mcp_servers:
  com-auto-reader-ocr:
    url: "https://api.auto-reader.com/mcp"
```

### Other

```json
{
  "mcpServers": {
    "com-auto-reader-ocr": {
      "type": "http",
      "url": "https://api.auto-reader.com/mcp"
    }
  }
}
```

The mcpServers block is a cross-client convention. Remote transports vary, so check your client's docs.

## Changelog

Every change recorded for this component, newest first. Days that predate change tracking, or that we cannot explain, say so: "we were watching and nothing happened" and "we were not watching" are different claims.

### 2026-08-02 (score 59, +1)

No change was recorded against any check on this day. Stability & Change Management went from 20 to 23. That category is still filling its 30-day observation window: 6 days of observed history at the previous scan, 7 at this one. The score rises as the window fills, whether or not the server changes.

### 2026-07-31 (score 58, −2)

- [functional] We updated how we score, so this day's move reflects our rubric, not a change to the server

### 2026-07-30 (score 60, −1)

- [functional] We updated how we score, so this day's move reflects our rubric, not a change to the server

### 2026-07-29 (score 61, +1)

No change was recorded against any check on this day. Stability & Change Management went from 7 to 10. That category is still filling its 30-day observation window: 2 days of observed history at the previous scan, 3 at this one. The score rises as the window fills, whether or not the server changes.

### 2026-07-27 (score 60, +1)

- [functional] We updated how we score, so this day's move reflects our rubric, not a change to the server

### 2026-07-26 (score 59)

First indexed and scored.

## MCP tools (6)

### `extract_document` (~250 tokens)

Extract STRUCTURED FIELDS from a document image: invoices, receipts, ID cards — or any custom JSON schema you supply. Every field returns {value, confidence, box} where the confidence and box come from the OCR geometry (never model guesswork); absent fields are null. preset="zatca" additionally decodes the Saudi ZATCA e-invoice QR (TLV) and cross-validates it against the printed fields — use it for Saudi tax invoices. Arabic-first accuracy. 5 credits/page (zatca 7).

Input parameters:

- `api_key` (string): Optional Auto-Reader OCR key (nsk_live_...). If omitted, a free trial key is auto-provisioned and returned to you in the result.
- `image_base64` (string, required): The document image as base64 (data: URI prefix accepted).
- `lang` (string): Language hint; default auto.
- `preset` (string): Built-in schema. Use zatca for Saudi e-invoices (adds QR validation).
- `schema` (object): Custom extraction schema instead of a preset: an object whose keys are the fields you want, values describing them, e.g. {"policy_number": "string|null"}.

### `ocr_image` (~266 tokens)

Extract text from an image with GPU OCR. Best-in-class Arabic (plus Persian/Urdu) accuracy, manga-aware vertical Japanese, and strong English, French, Spanish, German, Chinese, Korean, Russian, Italian and Portuguese — 13+ languages. Automatic language and script detection with lang="auto". Returns reading-order layout text (right-to-left aware, paragraph-gapped) that is ready to feed an LLM or show a human, plus the detected language, the engine used, and the number of text blocks found. Provide the image as base64. Use the mode hint (document | receipt | manga | scene) to tune detection.

Input parameters:

- `api_key` (string): Optional Auto-Reader OCR key (nsk_live_...). If omitted, a free trial key is auto-provisioned and returned to you in the result.
- `image_base64` (string, required): The image encoded as base64 (a data: URI prefix is accepted and stripped).
- `lang` (string): Language/script hint. Default "auto" detects it. Codes: ar, fa, ur, en, fr, es, de, ja, zh, ko, ru, it, pt.
- `mode` (string): Content hint that tunes detection and prompts. Default "document".

### `translate_text` (~159 tokens)

Translate text between 13+ languages with an LLM. Arabic-first quality, with formality control (formal/informal) and optional context to disambiguate meaning. Handles both short dictionary-style word lookups and full documents. Returns the translation and, when available, alternative phrasings.

Input parameters:

- `api_key` (string): Optional key (nsk_live_...). Auto-provisioned if omitted.
- `context` (string): Optional background text that improves accuracy (it is not translated).
- `formality` (string): Optional register for the output.
- `target_lang` (string, required): Target language, as a name or code (e.g. English, Arabic, ar, ja, fr).
- `text` (string, required): The text to translate.

### `ocr_and_translate` (~150 tokens)

One call: OCR an image, then translate every line into target_lang. Arabic-first OCR and manga-aware Japanese with right-to-left-aware layout, followed by LLM translation. Automatic source-language detection. Provide the image as base64. Ideal for reading foreign documents, signs, manga, or receipts end-to-end in a single step.

Input parameters:

- `api_key` (string): Optional key (nsk_live_...). Auto-provisioned if omitted.
- `image_base64` (string, required): The image encoded as base64 (a data: URI prefix is accepted and stripped).
- `target_lang` (string, required): Language to translate into, as a name or code (e.g. English, ar, ja).

### `get_usage` (~67 tokens)

Check your Auto-Reader OCR key: tier, remaining daily free credits, prepaid credit balance, subscription allowance, and per-minute rate limit. Use it to throttle yourself before hitting a limit.

Input parameters:

- `api_key` (string): Optional key (nsk_live_...). Auto-provisioned if omitted.

### `create_api_key` (~88 tokens)

Provision a new Auto-Reader OCR API key instantly, with no human steps. Pass an optional email to unlock the larger free tier (about 250 credits/day, vs about 25/day for an email-less trial key). Store the returned key and pass it as api_key on future calls.

Input parameters:

- `email` (string): Optional email to attach for the larger free tier and a verification link.

## Diagnostics

Captured diagnostic sections: TLS, DNSSEC, Authorisation, Transports. The full working is on the page: https://verifymcp.io/servers/com-auto-reader-ocr/api#diagnostics

## Score history

- 2026-08-03: 59
- 2026-08-02: 59
- 2026-08-01: 58
- 2026-07-31: 58
- 2026-07-30: 60
- 2026-07-29: 61
- 2026-07-28: 60
- 2026-07-27: 60
- 2026-07-26: 59

## Links

- Remote endpoint: https://api.auto-reader.com/mcp
- Repository: https://github.com/Samqra/auto-reader-ocr
- Changelog RSS feed: https://verifymcp.io/servers/com-auto-reader-ocr/api/changelog.xml
- Changelog JSON feed: https://verifymcp.io/servers/com-auto-reader-ocr/api/changelog.json
- HTML version of this page: https://verifymcp.io/servers/com-auto-reader-ocr/api